Skip to main content

Towards an Intelligent Grid Scheduling System

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3911))

Abstract

The main objective of the Intelligent GRID Scheduling System (ISS) project is to provide a middleware infrastructure allowing a good positioning and scheduling of real life applications in a computational GRID. According to data collected on the machines in the GRID, on the behaviour of the applications, and on the performance requirements demanded by the user, a heuristic cost function is evaluated by means of which a well suited computational resource is detected and allocated to execute his application. The monitoring information collected during execution is put into a database and reused for the next resource allocation decision. In addition to providing scheduling information, the collected data allows to detect overloaded resources and to pin-point inefficient applications that could be further optimised.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Foster, I., Kesselman, C. (eds.): The GRID Blueprint for a new Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  2. Erwin, D.: UNICORE plus final report – uniform interface to computing resource. Forschungszentrum Juelich (2003)

    Google Scholar 

  3. Seidel, E., Allen, G., Merzky, A., Nabrzyski, J.: Gridlab–a grid application toolkit and testbed. Future Generation Computer Systems 18, 1143–1153 (2002)

    Article  MATH  Google Scholar 

  4. Gruber, R., Volgers, P., De Vita, A., Stengel, M., Tran, T.M.: Parameterisation to tailor commodity clusters to applications. Future Generation Computer Systems 19, 111–120 (2003)

    Article  MATH  Google Scholar 

  5. Gruber, R., Tran, T.M.: Parameterisation to tailor commodity clusters to applications. EPFL Supercomputing Review 14, 12–17 (2004)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gruber, R. et al. (2006). Towards an Intelligent Grid Scheduling System. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2005. Lecture Notes in Computer Science, vol 3911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752578_90

Download citation

  • DOI: https://doi.org/10.1007/11752578_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34141-3

  • Online ISBN: 978-3-540-34142-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics